General

Prof. Lifu Zhang 
Email: zhanglf@aircas.ac.cn
Aerospace Information Research Institute, Chinese Academy of Sciences

No.20 Datun Rd,Chaoyang District,Beijing China,100101
Tel:8610 64839450 Fax:8610 64839450

Academicin Introduction



Professor | Ph.D. Supervisor | Pioneer in Hyperspectral Remote Sensing 


Academic Leadership

Director of the Hyperspectral Remote Sensing Research Team at the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS). Holds key academic roles including Vice Chair/Secretary-General of the China Remote Sensing Committee and Secretary-General of the Remote Sensing and Geography Committee of the Chinese Geographical Society. Senior IEEE Member. With over 20 years of expertise in hyperspectral remote sensing, has led 30+ national research projects such as the National Key R&D Program and NSFC Key Fund, pioneering an internationally recognized "industry-academia-research-application" integrated technology ecosystem.


▍  Scientific Innovation

Published 120+ SCI papers (including top-tier journals *Remote Sensing of Environment* and *IEEE TGRS*), 300+ academic papers in total. Holds 100+ authorized patents (including 3 international PCT patents) and 50 software copyrights. Recognized with 20+ prestigious awards, including the Second Prize of National Science and Technology Progress Award (Rank 2) and the Outstanding Science and Technology Achievement Award of CAS. Honored as "China's Most Inspiring Space Science Technologist" in 2024.


▍ Industry Impact

Serves as editorial board member for six Chinese/English journals (e.g., *Journal of Remote Sensing*) and core committee member of the Asian Conference on Remote Sensing (ACRS). Led the development of multiple industry standards, including *Multidimensional Spatiotemporal-Spectral Data Format for Remote Sensing* and *General Technical Specifications for UV-Vis-NIR Water Quality Spectral Monitoring*. Spearheaded the large-scale application of hyperspectral technologies in ecological monitoring, precision agriculture, and national security, accelerating industrial transformation.


▍ Major Honors

2024 Most Inspiring Scientist in China's Space Science 

2022 First Prize of China's Remote Sensing Outstanding Achievements (1st Prize

2021 Bingtuan Science & Technology Progress Award (1st Prize)  

2018 National Science & Technology Progress Award (2nd Prize)  

2016 CAS Outstanding Scientific Achievement Award  



Education

1988-1992 B.E. Wuhan University, Department of Photogrammetry and remote sensing
1997-2000 M.E. Wuhan University, National Key Laboratory for Information Engineering in Surveying, Mapping, and Remote Sensing
2001-2005 Ph.D. Wuhan University, National Key Laboratory for Information Engineering in Surveying, Mapping, and Remote Sensing

Experience

2020.03present Aerospace Information Research Institute, Chinese Academy of Sciences

2012.09- 2020.03 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Director of Hyperspectral Remote Sensing Laboratory, Deputy Director of Center for Applied Technology of Earth Observation, Professor
2012.01- 2012.09 Institute of Remote Sensing Applications, Chinese Academy of Sciences, Director of Hyperspectral Remote Sensing Laboratory, Professor
2011.06- 2011.12 Earth Science and Resource Engineering, Commonwealth Scientific and Industrial Research Organization (CSIRO), Sydney, Australia, Advanced Visiting Researcher
2010.08- 2011.05 Institute of Remote Sensing Applications, Chinese Academy of Sciences, Research Scientist, Director of Hyperspectral Remote Sensing Laboratory
2007.10- 2010.07 Institute of Remote Sensing Applications, Chinese Academy of Sciences, Research Scientist,
2005.07- 2007.10 Institute of Remote Sensing and GIS, Peking University,Postdoctoral Research Fellow
2003.09-2004.09 Department of Information and Computer Sciences,Nara Women’sUniversity of Japan, Visiting Researcher
1992.07-2000.10 Wuhan University, Assistant Researcher

Publications

   
Papers

1. Lifu Zhang, shunshi Hu, et al. The Effects of Solar Irradiance Spectra on Calculation of Narrow Band Top-of-Atmosphere Hyperspectral Reflectance, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014, in press (SCI, IF:2.874)
2. Qingxi Tong, Yongqi Xue, Lifu Zhang*. Progress in Hyperspectral Remote Sensing Science and Technology in China over the Past Three Decades,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014,7(1):70-91. (SCI, IF:2.874)
3. Yang Hang, Zhang Lifu*, Gao Yingqian et.al. Temperature and Emissivity Separation from Thermal Airborne Hyperspectral Imager (TASI) Data. Photogrammetric Engineering & Remote Sensing. 2013, 79 (12):1099-1107. (SCI,IF2.042)
4. Tong Shuai,Xia Zhang *, Lifu Zhang, Jinnian Wang. Mapping Global Lunar Abundance of Plagioclase, Clinopyroxene and Olivine with Interference Imaging Spectrometer Hyperspectral Data Considering Space Weathering Effect,ICARUS, 2013, 222(1): 401–410. (SCI)
5. ZHAOHeng-qian,ZHANGLi-fu*,WUTai-xia1,HUANG Changping . “Research on the Model of Spectral Unmixing for Minerals Based on Derivative of Ratio Spectroscopy”, Spectroscopy and Spectral Analysis, 2013, 33(1):172-176.(SCI)
6. Liu Kai; Zhang Li-fu*; Yang Hang; Zhu Hai-tao; Jiang Hai-ling; Li Yao. 2013, Hyperspectral Unstructured Background Target Detection Approach Based on Object-Oriented Analysis SPECTROSCOPY AND SPECTRAL ANALYSIS, 33(6):1653-1657(SCI)
7. Huang, C., L. Zhang*, J. Fang, and Q. Tong.2012. "A Radiometric Calibration Model for the Field Imaging Spectrometer System." IEEE Transactions on Geoscience and Remote Sensing. (99): 2465-2474. (SCI,IF:3.467)
8. Chen, Xiaoping, Lifu Zhang*, Xia Zhang, and Bo Liu.2013. "Comparison of the sensor dependence of vegetation indices based on Hyperion and CHRIS hyperspectral data." International Journal of Remote Sensing. 34 (6):2200-2215,(SCI)
9. Taixia Wu, Lifu Zhang*,Yi Cen, 2013. Polarized spectral measurement and analysis of Sedum spectabile Boreau using a field imaging spectrometer system, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(2)724-730
10. Lifu Zhang, Changping Huang, Taixia Wu, Feizhou Zhang and Qingxi Tong, Laboratory Calibration of the Field Imaging Spectrometer System, Sensors. 2011, 11(3):2408-2425. (SCI,2008 IF:1.905)
11. YANGHang,ZHANGLi-fu*,HUANGZhao-qiang,ZHANG X uewen, et al.Quantitative Inversion of Rock SiO2 Content Based on Thermal Infrared Emissivity Spectrum, Spectroscopy and Spectral Analysis, 2012,32(6):1611 – 1615.
12. LIUBo,TONGQing-xi,ZHANGLi-fu,ZHANGXia et al. Monitoring Spatio-Temporal Spectral Characteristics of Leaves of Karst Plant during Dehydration Using a Field Imaging Spectrometer System. Spectroscopy and Spectral Analysis,2012,32 (6):1460 - 1465
13. Zhang Lifu, Zhang Xuewen,HuangZhaoqiang, Yanghang,Zhang Feizhou.Quantitative Estimation of CaO Content in Surface Rocks Using Hyperspectral Thermal Infrared Emissivity, Spectroscopy and Spectral Analysis.2011, 31(11):2940 – 2943(SCI)
14. Lifu Zhang, Bo Liu, Bing ZhangQingxi Tong.AnEvaluate the effect of spectral response function of satellite sensor to precision of universal pattern decomposition method.International Journal of Remote Sensing,2010,31(8):2083-2090,( SCI, 2008IF:1.041)
15. Zhang Lifu, Zhang Liangpei, Yan Lei, Yang Shaowen, Fujiwara Noboru, Muramatsu Kanako, and Daigo Motomasa. Hyperspectral data transformation and vegetation index performance based on the universal pattern decomposition method, Journal of imaging science and technology, 2007,51(2):141-147 (SCI,170AE,EI:072610670624)
16. Zhang, Lifu, Furumi, S., Murumatsu, K., Fujiwara, N., Daigo, M., and Zhang, L. Sensor-independent analysis method for hyperspectral data based on the pattern decomposition method, International Journal of Remote Sensing, 2006, 27(21) : 4899-4910(SCI:120KX,2008IF:1.041,EI: 064910290265)
17. Zhang, Lifu, Furumi, S., Murumatsu, K., Fujiwara, N., Daigo, M., and Zhang, L. A New Vegetation Index Based on the Universal Pattern Decomposition Method, International Journal of Remote Sensing, 2007, 28(1):107-124(SCI:134OR, 2008IF:1.041,EI: 072710684235)
18. Zhang, Lifu, Fujiwara, N., Furumi, S., Muramatsu, K., Daigo, M., and Zhang L Assessment of the universal pattern decomposition method using MODIS and ETM+ data, International Journal of Remote Sensing, 2007, 28(1):125-142(SCI:134OR, 2008IF:1.041,EI: 072710684236)
19. ZHANG Li-Fu, ZHANG Xue-Wen, Huang Zhao-Qiang,YANG Hang,ZHANG Fei-Zhou. Quantitative Estimation of CaO Content in Surface Rocks Using Hyperspectral Thermal Infrared Emissivity. Spectroscopy and Spectral Analysis, 2011, 31(SCI)
20. Liu B., Zhang L.*, Zhang X., Zhang B., Tong Q. Simulation of EO-1 Hyperion Data from ALI Multispectral Data Based on the Spectral Reconstruction Approach. Sensors. 2009, 9(4):3090-3108. (SCI,2008IF:1.905).
21. HUANG Changping, ZHANG Lifu*, ZHANG Xiaohong, ZHENG Lanfen, TONG Qingxi. Study on Discrimination of Varieties of Milk Based on FISS Imaging spectral Data. Spectroscopy and Spectral Analysis, 2011, 31(1):214-218. (SCI)
22. ZHANG Xue-wen, ZHANG Li-fu*, HUANG Chang-ping ,ZHENG Lan-fen, TONG Qing-xi. Fresh and Frozen-Thawed Meat Discrimination Based on FISS Imaging Spectral Data. Spectroscopy and Spectral Analysis, 2011, 31(8):287-2190(SCI)
23. Li Bo, Yan Lei, Zhang Lifu.Evaluation of Sensor Spectral Parameters for the Simulation Accuracy of the Vegetation Spectrum, Spectroscopy and Spectral Analysis, 2010, 30(7): 1843-1847 (SCI).
24. Liu Bo, Fang Junyong, Liu Xue, Zhang Lifu, Zhang Bing, Tong Qingxi. Research on Crop-weed Discrimination Using a Field Imaging Spectrometer. Spectroscopy and Spectral Analysis, 2010, 30(7):1830-1833 (SCI).
25. Zhang, L., Zhang L , Fujiwara, N. , and Muramatsu, K. The universal pattern decomposition method based on the hyper spectral satellite remotely sensed data, Journal of Geomatics and information science of Wuhan University, 2005, 30(3):264-268.
26. Zhang, Lifu., Zhang L , Fujiwara, N. , and Muramatsu, K. Calculation of the terrestrial vegetation index VIUPD using MODIS data, Journal of Geomatics and information science of Wuhan University, 2005, 30(8):690-702.
27. Tong Q X, Xue Y Q, Wang J N, Zhang L F et. al. Development and application of the Field Imaging Spectrometer System. Journal of Remote Sensing. 2010, 14(3):409-422.
28. Huanhu Qin, Lifu Zhang. Design of Hyperspectral Multidimensional Database for Rock and Mineral. IEEE The International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011.
29. Yanghang, Zhang Lifu, Fang Junyong, Tong Qingxi. Vegetation Edge Feather Extracting Based on Wavelet Transform. ICFCC2010,3 :733-737.
30. Xuewen Zhang, Lifu Zhang , and Changping Huang. Quantitative Estimation of Cold Storage Time of Meat Using Hyperspectra Data,The International Conference on Remote Sensing,Environment and Transportation Engineering ,RSETE 2011.
31. Xuewen ZHANG, Lifu ZHANG, Caixiang XIE. ESTIMATION OF GLYCYRRHIZIC ACID CONTENT USING CANOPY SPECTROSCOPY IN VISIBLE-SHORTWAVE INFRARED REGION.IGARSS2011.
32. Hang Yang, Lifu Zhang, Li Liu, Qingxi Tong. temperature and emissivity separation from TASI data based on wavebands selection. IGARSS2011.
33. Changping HUANG, Lifu ZHANG, Junyong FANG, Xue LIU, Qingxi TONG. AN OPERATIONAL RADIOMETRICALLY CALIBRATED METHOD FOR FIELD IMAGING SPECTROMETER SYSTEMS. IGARSS 2011.
34. Changping HUANG, Jinnian WANG, Lifu ZHANG, Junyong FANG, Qingxi TONG. CALIBRATION AND CHARACTERIZATION OF A NOVEL FIELD IMAGING SPECTROMETER. IEEE-WHISPERS 2011.
35. Xuewen Zhang, Lifu Zhang, Qingxi Tong. QUANTITATIVE ESTIMATION OF GLYCYRRHIZIC ACID AND LIQUIRITIN CONTENTS USING GROUND HYPERSPECTRAL DATA. IEEE-WHISPERS 2011.
36. Yang Hang, Zhang Lifu, Fang Junyong, Zhang Xia, Tong Qingxi. Algorithm Research of Buiding Materials Emissivity Extracting. IGARSS2010: 3350 - 3353.
37. YANG Hang, ZHANG Xia, HE Hai-xia, ZHANG Li-fu, TONG Qing-xi.The Optimal Choice of Edge-Radiation-Distortion Correction Methods for OMIS-II Hyperspectral Images,Remote Sensing for Land &Resources,2010(2):17-21.
38. Zhang Lifu, Yan Lei and Yang Shaowen. Narrowband vegetation index performance using the AVIRIS hyper-spectral remotely sensed data,SPIE, Geoinformatics2006, Wuhan, 2006, 6419: 64190M1-M7.
39. Zhang, L., Fujiwara, N.; Furumi, S., Muramatsu, K., Daigo, M., Zhang, L., Yan, L.Validate the universal pattern decomposition method using satellite data acquired over the Three Gorges region. Proceedings of SPIE - The International Society for Optical Engineering, v 6043 I, MIPPR 2005: SAR and Multispectral Image Processing, 2005, p 60430G.
40. Zhang, L., Fujiwara, N., Furumi, S., Muramatsu, K., Daigo, M., Zhang, L.; Yan, L.Validate the universal pattern decomposition method using satellite data acquired over the Three Gorges region. Proceedings of SPIE - The International Society for Optical Engineering, v 6042 I, ICMIT 2005: Control Systems and Robotics, 2005, p 60430G.
41. Zhang Lifu, Yan Lei, and Yang Shaowen. Vegetation index derived from the AVIRIS hyper-spectral airborne imagery, International Congress of Imaging Science, Rochester, New York, May 7, 2006, 314-316.
42. Zhang Lifu, Zhang Liangpei, Fujiwara Noboru, Furumi Shinobu, Muramatsu Kanako, and Daigo Motomasa. Land Cover Classification based on the Universal Pattern Decomposition Method, the 31st International Symposium on Remote Sensing of Environment. Saint Petersburg, Russian, 2005, 6.
43. Zhang Lifu, Furumi Shinobu, Muramatsu Kanako, Fujiwara Noboru, Daigo Motomasa, and Zhang Liangpei A New Vegetation Index Based on the Universal Pattern Decomposition Method, Proceeding of the 36th conference, Chiba University, Journal of remote sensing society of Japan, 2004, 36:27-28.
44. Daigo Motomasa, Zhang Lifu, Fujiwara Noboru, Furumi Shinobu, Muramatsu Kanako, and Zhang Liangpei. Universality of Modified Pattern Decomposition Method for Satellite Data Analysis, Proceeding of the 35th conference, Nagaoka, Journal of remote sensing society of Japan, 2003, 35:131-132.
45. Zhang Lifu, Mitsushita, Y., Furumi, S., Muramatsu, K., Fujiwara, N., Daigo, M., and Zhang, L. Universality of Modified Pattern Decomposition Method for Satellite Sensor, Asia GIS conference Publications, 2003, Wuhan University, China.

Research Interests

Hyperspectral Remote Sensing and its Quantitative Application
Mechanism and Application of Polarized-light Remote Sensing